Latent Guard: A Machine Learning Framework Designed to Improve the Safety of Text-to-Image T2I Generative Networks
The rise of machine learning has had advancements in many fields, including the arts and media. One such advancement is the development of text-to-image (T2I) generative networks, which can create…
Google AI Team Introduced TeraHAC Algorithm and Demonstrated Its High Quality and Scalability on Graphs of Up To 8 Trillion Edges
The Graph Mining team within Google Research has introduced TeraHAC to address the challenge of clustering extremely large datasets with hundreds of billions of data points, primarily focusing on trillion-edge…
This AI Paper by Reka AI Introduces Vibe-Eval: A Comprehensive Suite for Evaluating AI Multimodal Models
Multimodal language models represent an emerging field in artificial intelligence that aims to enhance machine understanding of text and images. These models integrate visual and textual information to interpret and…
This AI Paper Introduces Llama-3-8B-Instruct-80K-QLoRA: New Horizons in AI Contextual Understanding
Natural language processing (NLP) focuses on enabling computers to understand and generate human language, making interactions more intuitive and efficient. Recent developments in this field have significantly impacted machine translation,…
Top Artificial Intelligence (AI) Governance Laws and Frameworks
Artificial Intelligence (AI) is changing the world quickly as several nations and international organizations have adopted frameworks to direct the development, application, and governance of AI. Numerous initiatives are influencing…
Evaluating LLM Trustworthiness: Insights from Harmoniticity Analysis Research from VISA Team
Large Language Models (LLMs) often provide confident answers, raising concerns about their reliability, especially for factual questions. Despite widespread hallucination in LLM-generated content, no established method to assess response trustworthiness…
Kolmogorov-Arnold Networks (KANs): A New Era of Interpretability and Accuracy in Deep Learning
Multi-layer perceptrons (MLPs), or fully-connected feedforward neural networks, are fundamental in deep learning, serving as default models for approximating nonlinear functions. Despite their importance affirmed by the universal approximation theorem,…
Iterative Preference Optimization for Improving Reasoning Tasks in Language Models
Iterative preference optimization methods have shown efficacy in general instruction tuning tasks but yield limited improvements in reasoning tasks. These methods, utilizing preference optimization, enhance language model alignment with human…
Hyve Solutions named Design Partner for NVIDIA HGX Product Line
Hyve leverages its extensive datacenter design, manufacturing and global deployment expertise and experience to accelerate AI Hyve Solutions Corporation, a wholly owned subsidiary of TD SYNNEX Corporation (NYSE: SNX) and a leading…
Transcarent Raises $126 Million Series D
Market shift from point solutions to platforms spurs higher valuation and participation from existing and new investors Led by General Catalyst & 7wireVentures, the investment will accelerate AI-powered enhancements to…